THERMAL SCIENCE

International Scientific Journal

Xiuzhuang Mei

,

Changyun Miao

,

Yanli Yang

,

Xianguo Li

ON-LINE INTELLIGENT EVALUATION OF THE FATIGUE STATE OF A COMPOSITE CONVEYOR BELT

ABSTRACT
Fatigue failure of a composite conveyor belt occurs frequently, which will finally lead to an accident. An adaptive segmentation model is established to identify the rubber surface’s fatigue failure and to evaluate the belt fatigue level by using the machine vision technology and the artificial bee colony algorithm. The results show that the damage rate of rubber surface can be correctly calculated and the fatigue failure state can be objectively evaluated.
KEYWORDS
conveyor belt, fatigue failure, adaptive segmentation, rubber surface damage rate
PAPER SUBMITTED: 2020-02-16
PAPER REVISED: 2020-07-04
PAPER ACCEPTED: 2020-07-04
PUBLISHED ONLINE: 2021-03-27
DOI REFERENCE: https://doi.org/10.2298/TSCI200216105M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 3, PAGES [2191 - 2198]
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On-line intelligent evaluation of the fatigue state of a composite conveyor belt

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence